iPhone 16 Pro Max
Geekbench AI Score
4666
Single Precision Score
8067
Half Precision Score
6501
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
3438
639.3 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7155
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16852
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14721
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (HP)
|
97% |
3667
291.9 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4087
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7516
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13758
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9593
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20310
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37421
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29755
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7102
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5055
186.7 IPS |
|
|
Text Classification (SP)
|
99% |
7147
9.54 KIPS |
|
|
Text Classification (HP)
|
100% |
10863
14.5 KIPS |
|
|
Text Classification (Q)
|
92% |
10989
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7091
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7069
122.2 IPS |
